Possibilities and pitfalls of facial recognition system | Explained

This issue touches upon core constitutional rights, specifically the right to privacy under Article 21 (Protection of Life and Personal Liberty) and the right to freedom of speech and expression and to assemble peaceably under Article 19. In the landmark Justice K.S. Puttaswamy (Retd.) vs Union of India case (2017), the Supreme Court of India established that privacy is a fundamental right. Any state action infringing upon this right must meet the triple test: legality (backed by a law), legitimate state aim (like national security or crime prevention), and proportionality (the measure must be the least restrictive means necessary to achieve the aim). The court's current examination focuses precisely on this principle of proportionality. The central question is whether the deployment of FRS during a protest, potentially chilling the right to free assembly, is a proportionate response to the perceived threat, or if it constitutes overreach. UPSC aspirants must analyze how technological surveillance challenges established constitutional safeguards.

From a governance perspective, the use of FRS highlights the urgent need for a robust legal framework governing surveillance and data protection. Currently, India lacks a specific law regulating facial recognition technology. The recently enacted Digital Personal Data Protection Act, 2023 (DPDP Act) provides broad guidelines on data processing, but its application to state surveillance and law enforcement remains complex, often relying on exemptions for national security. Without a dedicated legal architecture outlining permitted uses, data retention periods, and oversight mechanisms, the use of FRS risks arbitrary application. The Delhi Police's assertion that the system does not maintain profiles of peaceful protesters must be weighed against the potential for 'mission creep' (the gradual expansion of a project or mission beyond its original goals). Effective governance demands an independent oversight body to audit such technologies, ensuring transparency, accountability, and adherence to the principles of data minimization and purpose limitation.

Facial Recognition Systems (FRS) use biometric software to map facial features from a photograph or video and compare the information with a database of known faces to find a match. While FRS offers significant advantages in identifying suspects and locating missing persons, the technology is inherently flawed. Studies worldwide have documented algorithmic bias, where FRS demonstrates lower accuracy rates for marginalized communities, women, and people of color, largely due to biased training data. In the context of policing protests, a false positive (incorrectly identifying an innocent person as a suspect) can have severe legal and social consequences for the individual. Furthermore, FRS operates as a form of mass surveillance, inherently different from targeted surveillance based on probable cause. The UPSC frequently tests the ethical and societal implications of emerging technologies; candidates must understand both the utility of AI in law enforcement and its potential to exacerbate systemic biases and erode civil liberties.